pandas
https://github.com/pandas-dev/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- BUG: Series read_json tries to convert all column values to dates even when using keep_default_dates=True, if one column has an na value
- API: Consolidate groupby as_index and group_keys
- ENH: add errors='coerce' to DataFrame.astype
- ENH: allow `convert_css` in `Styler.to_latex` to parse css classes set with `set_td_classes` and `set_table_styles`
- DEPR: parse dates with `pyarrow` when `engine='pyarrow'` is specified
- BUG: `pd.Grouper` creates empty groups (and in doing so is inconsistent with `groupby`) with `pd.DatetimeIndex`
- API: Consistent handling of duplicate input columns
- TYP: Remove Sequence[str] in type annotations
- BUG: AttributeError: 'bool' object has no attribute 'to_numpy' in "mask_missing" method of core/missing.py
- BUG: `to_parquet` failing for integer-like string values in categorical column
- Docs
- Python not yet supported